文章基本信息

标题：LAND COVER CLASSIFICATION USING AIRBORNE LASER SCANNING DATA AND AERIAL IMAGES
其他标题：WYKORZYSTANIE DANYCH LOTNICZEGO SKANINGU LASEROWEGO I ZDJĘĆ LOTNICZYCH DO KLASYFIKACJI POKRYCIA TERENU
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作者：Andrzej Borkowski ; Przemysław Tymków
期刊名称：Archiwum Fotogrametrii, Kartografii i Teledetekcji
印刷版ISSN：2083-2214
出版年度：2007
卷号：17
语种：English
出版社：Main Board of Association of Polish Surveyors
摘要：The direct and indirect information about terrain surface and land use contained in laser scanning data sets allow to provide the automatic classification of land cover. An attempt of using scanning data as a supplementary source for such classification based on aerial photos was performed in this article. A continuous-wave (CW) ScaLARS laser system was used to receive scanning data. Numerous experiments consisting in the classification of a part of Widawa River valley were carried out in order to find the best combination of data set and classification method. Three classification methods were used: multilayer neural networks,maximum likelihood classifier and k-nearest neighbour method. The classification was made and evaluated using: aerial images (RGB model), texture features,differential model of height of land cover,based on digital surface model (DSM), and digital terrain model (DTM),model of height dispersion represented by variance of measured points height in a regular grid and intensity image. In order to quantify the quality of the results,a confusion matrix was created for each testing pattern based on manual digitalized reference data. The best results are obtained by artificial neural network classifier. The use of variance of height,instead of differential model,gives satisfactory results,and the obtaining of this feature is easy and fast in comparison to DTM and DSM building process.
其他摘要：Informacja bezpośrednia i pośrednia dotycząca powierzchni terenu i jego pokrycia zawarta w danych skaningu laserowego może być wykorzystana do klasyfikacji form pokrycia terenu. W artykule podjęto próbę oceny przydatności tego typu danych jako źródła info
关键词：airborne laser scanning;aerial images;supervised classification;artificial neural networks;maximum likehood;k-nearest neighbour method
其他关键词：lotniczy skaning laserowy;zdjęcia lotnicze;klasyfikacja nadzorowana; sztuczne sieci neuronowe;metoda największej wiarygodności;metoda k-najbliższych sąsiadów